Analyze Flow and Suggest Improvements

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint and idempotentHint. The description adds behavioral context by explaining that it examines flow configuration and returns suggestions, confirming it is non-destructive. It also details return values, adding further transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a clear introductory sentence, an 'Args' section, a 'Returns' section, and examples. It is concise yet informative, front-loaded with purpose, and every sentence serves a purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool is an analysis tool with one required and two optional parameters, the description covers purpose, usage contexts, parameters, return structure, and provides multiple examples. This is sufficient for an agent to invoke the tool correctly, especially with the output schema available.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description provides an Args overview and examples that add context, but the schema already contains detailed descriptions for each sub-property (thus schema coverage is effectively high). The description adds value through examples but does not substantially extend beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool analyzes chatflows/agentflows and provides improvement suggestions. The verb 'analyze' and resource 'flow' are specific, and the purpose is distinct from sibling tools like create, delete, list, which are all different operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly positions this as the primary tool for improvement-related queries and provides examples of targeted improvements using the improvement_goal parameter. However, it does not explicitly list when not to use it, though the context from sibling tools implies it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.